Triple

T4643324
Position Surface form Disambiguated ID Type / Status
Subject Air Defense Command (Japan) E101705 entity
Predicate headquartersCity P62 FINISHED
Object Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
E458836 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fussa | Statement: [Air Defense Command (Japan), headquartersCity, Fussa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fussa
Context triple: [Air Defense Command (Japan), headquartersCity, Fussa]
  • A. Ozieri
    Ozieri is a town in northern Sardinia, Italy, known for giving its name to the prehistoric Ozieri culture characterized by advanced Neolithic pottery and settlements.
  • B. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • C. Fiala
    Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
  • D. Ghedi
    Ghedi is a town in the Lombardy region of northern Italy, known historically as a site of military activity and today for its nearby Italian Air Force base.
  • E. Warka
    Warka is the modern name for the ancient Mesopotamian city of Uruk, one of the world’s earliest major urban centers in present-day Iraq.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fussa
Triple: [Air Defense Command (Japan), headquartersCity, Fussa]
Generated description
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fussa
Target entity description: Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
  • A. Ozieri
    Ozieri is a town in northern Sardinia, Italy, known for giving its name to the prehistoric Ozieri culture characterized by advanced Neolithic pottery and settlements.
  • B. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • C. Fiala
    Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
  • D. Ghedi
    Ghedi is a town in the Lombardy region of northern Italy, known historically as a site of military activity and today for its nearby Italian Air Force base.
  • E. Warka
    Warka is the modern name for the ancient Mesopotamian city of Uruk, one of the world’s earliest major urban centers in present-day Iraq.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a93047c8190990c94fd5a57c867 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfad80f14819097e022c9d9da17eb completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfdd7d3b881909dd8b362802005d8 completed March 21, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69bdfe48ed088190ba1de18bba4e9977 completed March 21, 2026, 2:11 a.m.
Created at: March 20, 2026, 1:14 p.m.